177 results about "Inventory management system" patented technology

A system for real-time creditworthiness assessment of small and medium-sized enterprises (SMEs) based on agent-based artificial intelligence (AI), the system includes: a large number of autonomous agents connected to each other via secure communication protocols; a data ingestion processing unit configured to capture and preprocess heterogeneous data streams from structured and unstructured sources, including APIs for financial transactions, tax databases, e-invoicing registers, inventory management systems, social sentiment feeds, and IoT-enabled devices, with preprocessing including schema harmonization, anomaly detection, and encryption-based integrity preservation; an ensemble of scoring control units configured to generate dynamic credit scores, wherein the ensemble includes machine learning models, including gradient-enhanced decision trees, recurrent neural networks, and graph neural networks, the graph neural networks being configured to assess relational dependencies between SMEs, suppliers, and customer nodes in a business ecosystem; an audit controller configured to generate regulatory-compliant justification paths for each credit score; a feedback processing unit configured to update the evaluation control unit ensemble using reinforcement learning signals derived from observed repayment behavior, payment default trends, and fraud detection markers; and a user interface configured to display timestamped credit histories, confidence intervals and explanatory justifications, with the entire system running on a containerized cloud-native infrastructure with blockchain-based ledgers for version control of each point update.

The invention, which relates to the technical field of intelligent inventory management, discloses an intelligent inventory management system for household appliance spare and accessory parts, comprising a problem diagnosis module used for generating an inventory management first-level problem label and an inventory management second-level problem label; the intelligent demand prediction module is used for carrying out classification demand prediction according to the problem label generated by the problem diagnosis module and carrying out dynamic parameter adjustment on a prediction value; the dynamic classification management module is used for carrying out intelligent warehouse division, supplier collaborative optimization and digital agreement on the household appliance spare and accessory parts; and the intelligent storage module is used for upgrading hardware and carrying out software integration operation. According to the invention, historical data, market trend and seasonal fluctuation are utilized to accurately predict the requirements of spare and accessory parts. Classification is performed according to the value and demand fluctuation of the spare and accessory parts, and fine management is implemented. Through a VMI + JMI mixed mode, a supply chain is optimized to be cooperatively combined with an RFID technology and automatic storage equipment, so that the warehouse management efficiency is improved.

The invention discloses a hospital pharmacy inventory intelligent management system and method, and belongs to the technical field of data management. Medicine basic information and multiple batches of inventory records are acquired; an application risk grade R is extracted based on the medicine application label; combining the remaining validity period, the stability parameter and the risk factor to construct a batch ex-warehouse priority scoring model P; generating a sorting ex-warehouse list and executing allocation and ex-warehouse operation; when it is monitored that the medicine is in time or the inventory is abnormal, dynamically adjusting the score and updating the sorting result; according to the invention, fine control of the drug delivery sequence can be realized, clinical availability of high-risk-purpose drugs is guaranteed preferentially, and inventory use efficiency and medication safety are improved at the same time.

The invention relates to the technical field of information management, and discloses an adaptive decision logistics product management method. Comprising the steps of integrating a heterogeneous data cleaning algorithm, performing feature extraction and standardization on structured and unstructured data by adopting a Transform-based cross-modal alignment model, and embedding an anomaly detection model; a self-adaptive rule generator based on reinforcement learning constructs a reward function, and dynamically optimizes a subsidy rule strategy; a time sequence prediction model is combined to predict a future work clothes application demand trend, and an inventory management system is linked to realize a pre-distribution strategy; a graph neural network is adopted to construct an organizational structure knowledge graph, and an optimal approval path is generated; an approval risk prediction model is introduced, approval risks are predicted, and a grading early warning mechanism is triggered; generating a personalized chemical clothes recommendation list based on a mixed recommendation model of collaborative filtering and a knowledge graph; integrating a computer vision model, and automatically matching the size of the work clothes; the method has the advantages of improving employee satisfaction and reducing company cost.

The invention relates to the technical field of Internet of Things and warehouse management, in particular to a physical block chain inventory management method and system based on physical state hash and a multi-node collaborative bookkeeping mechanism. The system is composed of a plurality of intelligent nodes with sensing and computing capabilities, and each terminal can be bound with a specific real object and sense the state (including posture, temperature, position, binding state and the like) of the specific real object. A set of distributed and chained physical state change log mechanism is constructed by periodically generating physical state hash abstracts and synchronizing with a cloud end through a local area network in the same area. By combining an intelligent contract binding function, dynamic mapping and expiration management and control of a real object and management authority are realized, a Byzantine fault-tolerant characteristic is realized, and credibility and traceability of a storage state can still be guaranteed under the condition of node missing, dismantling or abnormity. The system can be widely applied to logistics, storage, asset supervision, pledge finance and other scenes, and provides hardware-level basic support for constructing a credible inventory management system.

The invention discloses a mobile information asset inventory management system based on a parallel chain, and relates to the technical field of information asset management, the mobile information asset inventory management system comprises a main chain, the parallel chain, a cross-chain interaction module, a management platform, a mobile terminal and an asset label, and the main chain stores asset metadata, core transaction records, a cross-chain protocol and an authority token. In the invention, the system records the core metadata, the state change and the core transaction log of the assets through the main chain, the whole process chain evidence storage of the assets from warehousing, checking and transfer to recovery is realized, all data are encrypted and written in in a block form, the integrity and the non-tampering property of the data are ensured, a credible basis is provided for asset supervision and audit analysis, and the asset management and audit efficiency is improved. The parallel chain adopts an authorized Byzantine fault-tolerant consensus mechanism, has the processing capability of more than 1500 transactions per second, and is matched with a reinforcement learning dynamic allocation module to generate an optimal inventory task allocation scheme according to seven dimensions such as asset state, personnel position and task load, so that the task execution efficiency is remarkably improved.

The invention discloses a natural resource asset checking management system and method based on a cross-platform architecture, and relates to the technical field of resource management, and the system comprises a cross-platform adaptive architecture module, a real-time data synchronization and verification module and an intelligent analysis and multi-dimensional visualization module. The cross-platform adaptive architecture module carries out fragmentation preprocessing on collected data through a uniform interface abstraction layer, a dynamic adaptation layer, a cross-platform rendering engine and a platform difference compensation mechanism and the real-time data synchronization and verification module, and the transmission efficiency is optimized through multi-link transmission and dynamic path selection. And the timeliness and accuracy of data synchronization are ensured in combination with block chain hash check and conflict detection. According to the system, through cross-platform adaptation, efficient data synchronization and intelligent visual analysis, the efficiency and scientificity of natural resource asset checking management are remarkably improved.

The invention provides a component intelligent warehouse inventory accurate management system based on the Internet of Things, and relates to the technical field of automatic control, and the method comprises the steps: generating an associated data message through data fusion calculation according to environment parameters and physical attribute characteristic data; based on the associated data, when the environment parameters trigger a preset low-temperature condition, generating a first regulation and control instruction for adjusting the working mode of the RFID reader-writer so as to obtain a real-time working state frame returned by the reader-writer; and according to a real-time working state frame returned by the reader-writer and a material box physical attribute feature database, the initial storage position information of the target material box is converted into a unique space code, and a three-dimensional grid unit area to which the target material box belongs is determined according to the space code. According to the invention, precise and intelligent management of component warehouse inventory is realized.

The invention discloses an inventory management system comprising a request receiving module used for receiving an inventory operation request of a peripheral system; the parameter verification module is connected with the request receiving module; the processing mode decision module is connected with the parameter verification module; the distributed lock control module is connected with the processing mode decision module; the cache preheating module is connected with the distributed lock control module; and the strategic calculation module is connected with the cache preheating module. Through modular design, high performance, high expansibility, high consistency and high reliability of the inventory management system are realized, the request receiving and parameter verification module ensures that data are accurate, the processing mode decision module flexibly deals with different scenes, the distributed lock control and cache preheating module improves the concurrent processing capability, and the distributed lock control and cache preheating module improves the performance of the inventory management system. And the strategic calculation module enhances the flexibility of the system.

The invention relates to the technical field of commodity purchase-sale management, in particular to a commodity purchase-sale-stock real-time management system. The commodity purchase-sell-stock real-time management system is provided. According to the invention, the environment sensing module collects dynamic data during the business period in real time, including the real-time stock of commodities, the remaining time of the shelf life of the commodities, the passenger flow volume of nearly 10 minutes and the like, thereby effectively solving the problem that the data update of a traditional purchase-sales-stock system is lagged, ensuring the real-time accuracy of stock and price information, and improving the real-time performance of the purchase-sales-stock system. Meanwhile, whether the commodities need to be replenished or not is judged in real time through a dynamic analysis module according to a preset safety inventory threshold value, the safety replenishment amount is calculated, the risk of stockout or excessive accumulation is reduced, the inventory turnover rate is increased, a price reduction sales promotion instruction is automatically triggered through the dynamic analysis module according to the real-time risk value of the commodities and the preset threshold value, and the price reduction sales promotion efficiency is improved. The price is quickly refreshed by using the electronic price tag, and the freshness change of the short-term preserved commodity is responded in time, so that the high loss rate is reduced, and the shopping experience of customers is improved.

The invention provides a chemical industry-oriented multi-scale multi-dimensional intelligent production scheduling method and system, and the method comprises the steps: obtaining various production scheduling related data based on a factory model, a production management system, an inventory management system, a sales management system and an equipment management system which are established in advance; performing production scheduling according to the various production scheduling related data, a predetermined production quantity standard and gross profit data of different products, and determining a production plan of a target time granularity; and carrying out production according to the production plan, obtaining order insertion data and / or production abnormal information in real time, and updating the production plan. At least efficient, collaborative and benefit-maximized production scheduling can be realized, multi-objective optimization, dynamic order insertion, multi-system data integration and real-time collaboration are supported, and the actual demand of the fine chemical industry field for efficient production scheduling is met.

An adaptive inventory management system for use in a materials handling facility storing a plurality of items that are each associated with a Radio Frequency Identification (RFID) tag. The management system including a global inventory database subsystem, a RFID interrogator subsystem and a multi-frequency interrogator subsystem for scanning RFID tags within a defined internal volume of a vehicle. The management system being selectively configured to include an occupancy detection system.

The invention relates to the field of electric digital data processing, and discloses an intelligent clothing inventory management system based on big data, which comprises the steps of deploying an edge computing unit at each inventory node, and constructing a distributed network; each edge calculation unit calculates and broadcasts an inventory potential energy value in real time based on the current inventory and a recent sales rate subjected to multi-source data cross validation; any node autonomously compares the potential energy gradient with the potential energy gradient of an adjacent node, and when the gradient meets a triggering condition, an inventory pulling request is actively generated. The inherent information delay and calculation bottleneck of centralized decision making are eradicated, it is ensured that each allocation is driven by a real market signal subjected to multi-dimensional verification, and then the whole inventory network shows high agility and ordered self-adaption characteristics.

An inventory visibility management system utilizes fixed or motorized cameras to scan inventory bearing shelves in a backroom or warehouse of a store, as opposed to store shelves where merchandise is available for purchase, for inventory frequently to keep the system up to date on what boxes of inventory are on the shelf, what is in those boxes and where those boxes are on the shelf. The system may identify a bounding polygon around an identifier corresponding to the product and apply the bounding polygon to a machine-learned model, which may generate a high-resolution crop of the identifier as output. The system registers the identifier to the first bounding polygon and to a location associated with cameras that captured the plurality of low-resolution images. Upon receiving a request from a client device, the system may provide the location associated with the one or more cameras to the client device.

An adaptive inventory management system for use in a materials handling facility storing a plurality of items that are each associated with a Radio Frequency Identification (RFID) tag. The management system including a global inventory database subsystem and a RFID interrogator subsystem comprising at least one RFID interrogators that are each configured to read the unique identifier of the RFID tag associated with each of the plurality of items that are within a defined boundary of at least one scan zone generated by the plurality of antenna that are coupled to the at least one RFID interrogator and to communicate the unique identifier of the each scanned RFID tag identified within each scan zone to the global inventory database subsystem. The management system being selectively configured to effect user desired levels of fidelity and / or resolution with respect to the generated unique identifier of each scanned RFID tag within a defined space of the materials handling facility.

An inventory management system for a fulfillment center that supports rapid scanning of inventory items using a handheld electronic device. The system comprises a processor, a non-transitory memory storing a plurality of inventory transaction tables, a data verification table, and a committed transaction table, an inventory application stored in the non-transitory memory that, when executed by the processor receives a plurality of scanned code inputs from a mobile application executing on a handheld scanner, writes each received scanned code input into an inventory transaction table, processes each received inventory transaction table, writes processed asset transactions to the data verification table, and in response to receiving a command to commit processed asset transactions, committing processed asset transactions to the committed transaction table.

The invention provides an inventory management method and system for critical insurance risk commodities, and relates to the technical field of inventory management systems, and the method comprises the steps: obtaining the commodity information of an inventory commodity; on the basis of the commodity information, according to a set early warning condition, automatically screening out temporarily-preserved commodities; determining a comprehensive risk score value of the temporarily insured commodity through a multi-dimensional risk assessment mode; based on the comprehensive risk score value, evaluating the risk level of the temporarily insured commodity, and outputting a risk level evaluation result; carrying out value grading processing on the temporarily preserved commodities; based on the risk level assessment result and the value grading processing result, determining a recommended inventory turnover strategy of the temporarily insured commodities through an inventory turnover decision-making model; based on the recommended inventory turnover strategy, combining the real-time inventory distribution data and the safe inventory threshold value to generate a final inventory regulation and control instruction; executing the inventory regulation and control instruction; and dynamically updating the inventory state data of the temporarily insured commodities, and carrying out multi-level early warning according to the inventory state data.

An adaptive inventory management system for use in a materials handling facility storing a plurality of items that are each associated with a Radio Frequency Identification (RFID) tag. The management system including a global inventory database subsystem and a RFID interrogator subsystem that are configured to read the unique identifier of the RFID tag associated with each of the plurality of items and to communicate the unique identifier of each scanned RFID tag identified within each scan zone of the respective RFID interrogator to the global inventory database subsystem. The management system being selectively configured to effect user desired levels of fidelity and / or resolution with respect to the generated unique identifier of each scanned RFID tag within a defined space of the materials handling facility.

An inventory management system can include a workspace defining a plurality of loading zones separated by passages and each sized to contain a palletized item stack. A carriage suspended over the workspace may move above the loading zones. An accessory may be coupled with the carriage and extend at least partially downward into the passages. The accessory can include a main body; a boom extending at least partially upward from the main body toward the carriage; a dispenser coupled with the main body and arranged for supporting a spool of stretch wrap material; and a driving wheel extending from the main body. The driving wheel may rotate against the target palletized item stack and propel the main body and the boom within the passages and along a perimeter of the target palletized item stack so that stretch wrap material is deployed around the target palletized item stack.

An inventory system comprises one or more mini-cell sites, one or more reader devices to read tags, and a control system. The mini-cell site comprises radio equipment configured to broadcast power signals within an inventory environment. The control system transmits a first instruction to the mini-cell site to set a configuration parameter at the mini-cell site to a first frequency channel based on mini-cell site capability data and inventory environment data, and transmits a second instruction to the reader device to set a network setting at the reader device to a second frequency channel based on reader device capability data and the inventory environment data. The first frequency channel is different from the second frequency channel.

The present application belongs to the technical field of tobacco logistics management, and discloses a kind of horizontal sorting equipment cigarette automatic inventory management system and method, comprising: data acquisition module is used to collect horizontal flue replenishment data, horizontal flue operation data and vertical tobacco warehouse data;Inventory module is used to collect horizontal flue real-time inventory data and vertical tobacco warehouse real-time inventory data;Wireless communication module is used to transmit the data collected by data acquisition module and inventory module;Processing module is used to receive the data sent by the wireless communication module, and combines inventory data to analyze and judge whether the inventory module is abnormal;Mark and output module, according to the judgment result of the processing module, mark and output horizontal flue real-time inventory data and vertical tobacco warehouse real-time inventory data;Wherein, the inventory module includes the first laser ranging sensor arranged at the rear end of horizontal flue and the second laser ranging sensor arranged at the top end of vertical tobacco warehouse.

The invention relates to the technical field of computer application technology and Internet of Things, in particular to an intelligent food sales inventory management system based on Internet of Things. The system comprises an Internet of Things sensor network, a data acquisition module, a data processing module and a decision control module. The Internet of Things sensor network is provided with a temperature sensor, a humidity sensor, a weight sensor and an RFID tag, and is used for collecting food stock environment parameters and stock data in real time. The data acquisition module is connected with a sensor network and an external data source, and integrates and preprocesses sales data, weather forecast data and holiday event data. And the data processing module adopts a long-short-term memory network model to carry out sales prediction, and adopts a support vector machine model to evaluate the food deterioration risk. Real-time monitoring, accurate prediction and dynamic optimization of food inventory are realized through multi-source data fusion and machine learning, food waste and inventory cost are effectively reduced, and operation efficiency is improved.

A management apparatus for managing an inventory amount of a hydrogen gas in a plurality of hydrogen tanks that store hydrogen gas, the management apparatus including a log data receiving circuit configured to receive log data including a plurality of parameter data measured by a plurality of instruments arranged each on hydrogen tank and identification information of each hydrogen tank, and an inventory amount calculation circuit configured to calculate an inventory amount of the hydrogen gas at an individual calculation timing that is individually set for each hydrogen tank based on the log data.

To provide a storage management system capable of supporting a robot to efficiently pick an article in a bin even when the bin is partitioned by a partition.SOLUTION: Acquiring, for each combination of a warehousing target article and identification information of a shipping work resource, warehousing allocation information including one or more warehousing allocation records including partition type information indicating a partition type for partitioning a bin, and searching for a first bin that stores a first article based on first partition type information included in a first warehousing allocation record corresponding to the first article; As a result of the search, when the first bin exists, warehousing instruction information for instructing storage of the first article in the first bin is generated.SELECTED DRAWING: Figure 17

The application provides a medical high-value consumable management system, method, electronic equipment and storage medium. The system comprises a high-value consumable management module, which is also used to obtain traceability information of high-value consumables according to the unique device identifier and the globally unique identifier; a table-following surgery module connected to a surgery management system of a hospital and the high-value consumable management module, which is used to record consumption amount, category and use of high-value consumables used in a surgery process, and synchronize the consumption data to the inventory management system; an inventory management and replenishment decision module used to obtain real-time inventory information, storage cost and ordering fixed cost of high-value consumables; a traceability and reporting module used to generate consumable use traceability reports and inventory change trend reports, which can significantly improve the management efficiency of medical high-value consumables, reduce errors and resource waste caused by human intervention, adopt a demand prediction method based on a long short-term memory network (LSTM), and accurately predict the use trend of future consumables, effectively avoiding the situation of inventory accumulation or shortage.

The invention relates to an industrial intelligent ERP (Enterprise Resource Planning) production management system and a key technology, belongs to the technical field of industrial informatization software, artificial intelligence voice interaction and equipment predictive maintenance, and aims at solving the problems that a traditional industrial ERP system is insufficient in flexibility, workshop voice interaction is difficult, and equipment maintenance is passive and low in efficiency. The core innovation of the invention lies in that: a module hot plug architecture is adopted, so that a user can switch a full-function ERP system / a lightweight chemical single system / a purchase-sale-stock combined system within 5 seconds; according to an anti-noise voice engine, the instruction recognition rate gt in the 90dB workshop environment is determined; 92%, response delay lt; 200 ms; a closed loop is predictively maintained, an equipment health model is called in real time in work order execution, and shutdown loss is reduced by 40%. The problems that a traditional ERP system cannot be flexibly split, the workshop voice interaction rate is low, and equipment maintenance is passively responded are solved.

The invention provides a business and enterprise business management system and method based on artificial intelligence, and relates to the technical field of enterprise planning management, and the management system comprises an inventory management system, an intelligent data center, a core business module and an AI-driven supply chain center. According to the inventory management system, a plurality of storage and transportation devices are set up in a warehouse and used for carrying out statistical management on warehouse-in and warehouse-out of goods, and each storage and transportation device comprises a storage management recording platform, a driving mechanism, a conveying mechanism and a bottom surface recording assembly. Compared with a traditional afterward remedy mode, operation risks can be effectively reduced, weight information statistics and collection can be conducted on goods in and out of a warehouse, by means of a quick disassembly structure between the driving mechanism and the conveying mechanism, the transfer process of the goods can be facilitated, the content of image data in and out of the warehouse can be expanded, and more comprehensive clues are provided for subsequent goods traceability.

Described herein is a home stock management system (1) for packaged items comprising a stationary data collection module (10) configured to wirelessly collect data from one or more packaged items (11) and to transmit the collected data to a processing module (12) wherein the packaged item(s) (11) include(s) a wireless tag (15), a processing module (12) for receiving, storing and processing the collected data from the collection module (10), and a notification means (13), wherein, the data collection module (10) is configured to collect data from the one or more packaged items (11) present in the home without user intervention. The processing module (12) is configured to process the collected data to determine status information and the notification means (13) is configured to communicate to one or more authorized users the status information. The home stock management system (1) can be used for the monitoring of consumable packaged items in the house or for monitoring and managing the stock and use of medication in a patient home or residence.

An inventory monitoring system preferably includes a computer monitoring device and a plurality of containers. The computer monitoring device includes a computer, a software a transceiver and a display device. The software program preferably includes compliance tracking, event reporting replacement alerts, video training, log generation, remote inventory checking of each storage box, a list of items to be order for the next year and supplying regulator alerts. Each container preferably includes a storage box, a box transceiver, a microcontroller, a battery, a location sensor, an opening and closing sensor, an item tracking sensor, at least one identity monitoring device, a temperature sensor, a humidity sensor and a low battery indicator. A plurality of items are stored in the plurality of containers. The storage box preferably includes a locking cover. The microcontroller will also periodically test all sensors connected thereto.

Systems and methods for inventory management and digital twin synchronization are provided. In one example, an inventory management system includes a machine, an active monitoring service configured to monitor the machine, detect an active trigger event, and notify a client of the machine of a passive trigger event, wherein the client is configured to initiate partial or full inventory collection in response to receiving a notification of an active trigger event. The inventory management system also includes a server external to the machine and communicatively coupled to the client via an over-the-air (OTA) connection, and a digital twin, wherein the digital twinning is a digital copy of the machine synchronized with the machine via the server by data collected from the partial inventory collection or the full inventory collection.